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mezmo

Creating In-Stream Alerts for Telemetry Data

Sep 18, 2024 By Mezmo In Mezmo
Alerts that you receive from your observability tool are based on conditions that existed seconds to minutes in the past, because the alert is only triggered after the data has been indexed within the tool. This means that your ability to take timely action in response to the condition is significantly limited, and often your window of opportunity to react is past by the time you receive the alert.
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mezmo

Creating Re-Usable Components for Telemetry Pipelines

Sep 18, 2024 By Mezmo In Mezmo
One challenge for the widespread adoption of telemetry pipelines for SRE teams within an organization is knowing where to start when building a pipeline. Faced with a wide assortment of sources, processors, and destinations, setting up a telemetry pipeline can seem like trying to build a Lego set without any instructions. The solution is to provide teams with pre-defined components that provide specific functionality, that they can then use to build pipelines that meet their own requirements.
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BizTalk to Azure Integration Services: A Migration Story and Best Practices

Sep 18, 2024 By Turbo360 In Turbo360
Steef Jan shares his experience with migrating on-premise systems to the cloud, specifically with Azure Integration Services. He talks about his journey of modernizing a retailer's integration platform, which involved migrating 50-60 interfaces from an on-premise solution to Azure. This episode also discusses the challenges of migrating large BizTalk installations to the cloud and the importance of having a roadmap for on-premise footprints. He shares his final thoughts on the importance of evolving and keeping track of changes in the cloud platform.
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ilert

Enhancing Postmortem Reports with AI

Sep 18, 2024 By Zsuzsanna Borovszki In iLert
Postmortem reports are essential in incident management, helping teams learn from past mistakes and prevent future issues. Traditionally, creating these reports was a slow, tedious process, requiring teams to gather data from multiple sources and piece together what happened. But with AI and Large Language Models (LLMs), this process can become faster, smarter, and much less of a headache.
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ScienceLogic

Combining Data Visualization and Advanced Analytics for Stronger Data Insights

Sep 18, 2024 By ScienceLogic In ScienceLogic
A typical enterprise generates a flood of information every day in the form of infrastructure and network data, operational and application data, security data, user access data, and more. With the right visualization capabilities, companies can thoroughly examine the multitudes of data they create daily to glean critical insights. The catch, however, is capturing actionable insights without exhausting the human resources of IT.
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bigpanda

The human element of implementing AIOps

Sep 18, 2024 By Rachel Pearson In BigPanda
When implementing new tech, the challenges don’t end at tool selection, purchase, and initial deployment. You can have the best technology in the world, but it won’t help your organization if no one uses it. Many teams look to AIOps solutions like BigPanda to reduce noise, improve workflows, and resolve incidents faster through AI and automation. Bringing in a new platform is part of the equation. The other part is organizational change management to support platform adoption.
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gitkraken

5 Tips for Using Azure DevOps and Jira Together

Sep 18, 2024 By Allison Wheeler In GitKraken
When it comes to managing development projects, many teams use both Azure DevOps and Jira to collaborate across departments. While Jira is often favored by project management teams for issue tracking, Azure DevOps excels with developers for managing code repositories, pipelines, and deployments. Combining these two tools can bring clarity, reduce duplication, and foster better collaboration between both development and non-development teams.
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Aiven

The AI Advantage: How AI is Reshaping Software Development

Sep 18, 2024 By Josep Prat In Aiven
Widespread adoption of Generative AI has infiltrated nearly every business sector. While tools like transcription and content creation are readily accessible to all, AI's transformative potential extends far deeper. Its influence on coding and software development raises profound questions about the future of this industry.
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